Infrastructure at your Service
By Franck Pachot . I’ve written a blog post about serverless databases and here is an example of Amazon RDS Aurora PostgreSQL in serverless mode: When I’ve created the instance (15:55 – CloudWatch is GMT+2 but event log is UTC), it started with 0 capacity unit (18:03), which means that it was paused (you pay for storage only). Then I connected and the instance was resumed (18:19) to its maximum capacity unit (4 here). And…
By Franck Pachot . When I’m writing about a product I like to be precise about the name, the upper and lower case, and even more: do you know that was taking special care of writing Oracle 12cR2 before then non-italic came with 18c? And that’s also the reason I’m not writing a lot about VMware as it takes me 5 minutes to put the uppercase right 😀 You may have seen that many Amazon…
By Franck Pachot . I’ve always been working with databases. Before the cloud era, the most abstract term was “data”. A variable in memory is data. A file is data. A block of disk contains data. We often created a ‘/data’ directory to put everything that is not binaries and configuration files. I’ll always remember when I did that while working in Dakar. My colleagues were laughing for minutes – my Senegalese followers will understand…
By Franck Pachot . There are many NoSQL databases. And, because SQL is an ISO standard, “No SQL” also means “No Standard”. Many have a similar API and similar objects, but with completely different names. Today, NoSQL databases are used as an additional datastore for some well-defined use cases for which a hashed key-value store fits better than a relational table. And it quickly became “Not Only SQL” as it is complementary to RDBMS databases…
By Franck Pachot . On my Oracle Cloud Free Tier Autonomous Transaction Processing service, a database that can be used for free with no time limit, I have seen this strange activity. As I’m running nothing scheduled, I was surprised by this pattern and looked at it by curiosity. And I got the idea to take some screenshot to show you how I look at those things. The easiest performance tool available in the Autonomous…
By Franck Pachot . In the previous blog post I’ve installed SQL Server on the Oracle Cloud. My goal was actually to have a look at Redgate SQL Clone, a product that automates thin cloning. The SQL Server from the Oracle marketplace is ok for SQL Clone prerequisites. There’s a little difference in .NET Framework version (I have 4.6 where 4.7.2 or later is required but that’s fine – if it was not an update…
By Franck Pachot . You can create a VM with SQL Server running in the Oracle Cloud. This is easy with a few clicks on the marketplace: Here are the steps I did above: Oracle Cloud -> Marketplace -> Application -> Category -> Database management You have multiple flavors. I’ve chosen the lastest cheaper “Microsoft SQL 2016 Standard with Windows Server 2016 Standard” Select the compartment and “Launch Instance” Choose a name, and the network…
By Franck Pachot . Since Aug. 4, 2020 we have the possibility to rename an Autonomous Database (ATP, ADW or AJD – the latest JSON database) on shared Exadata infrastructure (what was called ‘serverless’ last year which is a PDB in a public CDB). As the PDB name is internal, we reference the ADB with its database name is actually a part of the service name. I have an ATP database that I’ve created in…
By Franck Pachot . That’s common to any data structure, whether it is RDBMS or NoSQL, indexes are good to accelerate reads but slow the writes. This post explains the consequences of adding indexes in DynamoDB. Secondary Indexes What we call an index in DynamoDB is different from an index in RDBMS. They have the same goal: store your data with some redundancy in order to have it physically partitioned, sorted, and clustered differently than…
By Franck Pachot . DynamoDB is a cloud-native, managed, key-value proprietary database designed by AWS to handle massive throughput for large volume and high concurrency with a simple API. simple API: Get, Put, Query, Scan on a table without joins, optimizer, transparent indexes,… high concurrency: queries are directed to one shard with a hash function massive throughput: you can just add partitions to increase the IOPS large volume: it is a shared-nothing architecture where all…
